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Volume 39 Issue 5
Jan.  2022
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Article Contents
GAO Chan-juan, ZHAO Qi-chao, DING Ruo-nan, ZHANG Jin-ming, LI Ying-hua, DONG Chun-xin. VARIATIONS OF ATMOSPHERIC POLLUTANTS CONCENTRATIONS AND THEIR CORRELATION WITH METEOROLOGICAL FACTOR IN JILIN CITY IN 2018[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(5): 71-79. doi: 10.13205/j.hjgc.202105010
Citation: GAO Chan-juan, ZHAO Qi-chao, DING Ruo-nan, ZHANG Jin-ming, LI Ying-hua, DONG Chun-xin. VARIATIONS OF ATMOSPHERIC POLLUTANTS CONCENTRATIONS AND THEIR CORRELATION WITH METEOROLOGICAL FACTOR IN JILIN CITY IN 2018[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(5): 71-79. doi: 10.13205/j.hjgc.202105010

VARIATIONS OF ATMOSPHERIC POLLUTANTS CONCENTRATIONS AND THEIR CORRELATION WITH METEOROLOGICAL FACTOR IN JILIN CITY IN 2018

doi: 10.13205/j.hjgc.202105010
  • Received Date: 2020-04-06
    Available Online: 2022-01-17
  • The statistical method, Pearson correlation coefficient method and linear regression method were adopted to analyse the variation characteristics of the concentrations of SO2, NO2, PM10, PM2.5, CO and O3, the correlation between pollutants concentrations, as well as the relationship between pollutants and meteorological factors in Jilin city in 2018. The results showed that:1) the exceeding standard rate of daily average value of O3, PM10 and PM2.5 concentrations in Jilin city account for 1.06%, 3.27% and 7.14%, respectively; consequently, air pollution control should focus on particles, O3 and their precursors; the pollution of CO, SO2, NO2, PM10 and PM2.5 were more serious in spring and winter, and the less in summer; the concentration of pollutants varied periodically with seasons, hour and human activities. 2) The concentrations of PM10 and PM2.5, PM2.5 and CO, as well as NO2 and CO, were highly correlated with each other (correlation coefficients r were all above 0.8), and the prediction linear model was established in this research. 3) The concentration of pollutants (except O3) was negatively correlated with temperature, wind speed and mixed layer height, but positively correlated with air pressure; precipitation had a certain reduction effect on SO2, PM10 and PM2.5 concentration, the percentage of pollutant concentration reduced after precipitation were 68.75%, 84.38% and 78.13%, respectively; the particles, the most seriously pollutant in Jilin city, were greatly affected by mixed height, wind speed and precipitation. This study could provide references for air pollution control, calculation of regional atmospheric environmental capacity and prediction of air pollution potential and elated researches in Jilin city.
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